人工智能在髋关节置换应用现状
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1.内蒙古科技大学包头医学院第二附属医院;2.内蒙古医科大学第二附属医院;3.内蒙古医科大学附属医院;4.内蒙古医科大学

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内蒙古自然科学基金(编号:2020MS08124);内蒙古教育厅高等学校创新团队发展计划(编号:NMGIRT2227)


Application of artificial intelligence in hip replacement
Author:
Affiliation:

1.The Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology;2.The Second Affiliated Hospital of Inner Mongolia Medical University;3.The Affiliated Hospital of Inner Mongolia Medical University;4.Inner Mongolia Medical University

Fund Project:

Natural Science Foundation of Inner Mongolia, No.2020MS08124; Inner Mongolia Department of Education Higher Education Innovation Team Development Program (No. : NMGIRT2227)

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    摘要:

    摘要:髋关节置换是股骨头坏死等髋关节疾病终末期的有效治疗方法。术前合理规划、术中假体正确安放及术后定期随访是手术成功及早期发现假体异常必不可少的环节。然而大量重复的工作必然耗费医生的宝贵时间,且不同医生对结果的理解存在主观差异,可能导致病情的延误。近年来,人工智能与髋关节置换进行了深度融合,有望减轻医生负担,促进髋关节置换的精准化。本文综述了近10年人工智能在髋关节置换领域的进展。首先,概述了目前人工智能的发展现状;其次,叙述其在置换术前、术中及术后的现状;最后,分析人工智能在该领域存在的不足,并预测未来关注要点及趋势。

    Abstract:

    Abstract: Hip replacement is an effective treatment for the end-stage of hip joint diseases such as femoral head necrosis. Reasonable preoperative planning, correct intraoperative placement of prosthesis and regular postoperative follow-up are essential for successful operation and early detection of prosthesis abnormalities. However, a large number of repetitive work will inevitably consume the precious time of doctors, and different doctors have subjective differences in understanding the results, which may lead to delays in illness. In recent years, artificial intelligence and hip replacement have been deeply integrated, which is expected to reduce the burden of doctors and promote the precision of hip replacement. This paper reviews the progress of artificial intelligence in the field of hip replacement in the past 10 years. Firstly, the current development status of artificial intelligence is summarized; secondly, the current situation of artificial intelligence before, during and after the replacement is described; finally, the shortcomings of artificial intelligence in this field are analyzed, and the future focus and trends are predicted.

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  • 收稿日期:2023-04-11
  • 最后修改日期:2023-06-05
  • 录用日期:2023-09-12
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